news-sentiment — independently scanned and version-tracked by SaferSkills.
SaferSkills independently audited news-sentiment (Agent Skill) and scored it 100/100 (green). The audit ran 55 deterministic rules across Security, Supply Chain, Maintenance, Transparency, and Community; it found 0 high-severity and 0 lower-severity findings. The full rule-by-rule trace and per-finding evidence are below. Free, methodology-open.
Findings & checks · 0 flagged
Every scanned point with the score it earned and what moved between them.
First recorded scan — no prior version to compare against.
The primary manifest — the file an agent reads to learn what this artifact does.
Fetch recent news from Yahoo Finance.
Note: Ifuvis not installed orpyproject.tomlis not found, replaceuv run pythonwithpythonin all commands below.
uv run python scripts/news.py SYMBOL [--limit LIMIT]SYMBOL - Ticker symbol--limit - Number of articles (default: 10)Returns JSON with:
articles - Array of recent news with title, publisher, date, linksummary - Brief summary of overall sentimentPresent key headlines and note any significant news that could impact the stock.
yfinanceAll timestamps and time-based calculations must use the America/New_York timezone. All JSON output must include generated_at (NY time string) and data_delay fields.
~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.